Validation of a Syndromic Case Definition for Detecting Emergency Department Visits Potentially Related to Marijuana

Abstract

OBJECTIVES:

Reliable methods are needed to monitor the public health impact of changing laws and perceptions about marijuana. Structured and free-text emergency department (ED) visit data offer an opportunity to monitor the impact of these changes in near-real time. Our objectives were to (1) generate and validate a syndromic case definition for ED visits potentially related to marijuana and (2) describe a method for doing so that was less resource intensive than traditional methods.

METHODS:

June 07, 2017

Evaluation of Case Detection of Marijuana-Related Emergency Department Visits

NSSP, a Centers for Disease Control and Prevention (CDC) surveillance system, allows timely detection of emergency department (ED) trends by matching chief complaint (CC) text or diagnosis (DX) codes to established syndrome criteria [1, 2]. No CDC syndrome definition currently exists for marijuana-related visits. Accidental child ingestions and over-consumption of edible products are an emerging concern [3, 4]. A validated marijuana syndrome will allow health departments with access to ED data to measure relative trends and disparities in marijuana-related ED visits.

August 31, 2017

Using Emergency Department Data for Detection of a Synthetic Marijuana Outbreak

Timely access to Emergency Department (ED) Chief Complaint (CC) data, before the definitive diagnosis is established, allows for early outbreak detection and prompt response by public health officials.BioSense 2.0 is a cloud-based application that securely collects, tracks, and shares ED data from participating hospitals around the country. Denver Health (DH) is one of several Colorado hospitals contributing ED Chief Complaint data to BioSense 2.0. In August 2013, ED clinicians reported an increase in patients presenting with excited delirium, possibly related to synthetic marijuana (SM).

December 20, 2017

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